Build log
- Building MVP for AI-driven interview platform
- Project reports system: a case study
- AI-powered Ruby travel assistant
- Building better Binance transfer tracking
- Tracking Bitcoin-altcoin performance indicators in BTC hedging strategy
- Brainery build log
- Access the brainery
- Architecture
- The point of being human if AI can think?
- Data flow in Brainery
- Database design and philosophy
- Continual learning DIKW pyramid
- Human edge in AI world
- Build a brain that never forgets
- Promoting raw data to insight
- Reading after brainery
- Does AI make you pretend to know?
- MCP authorization over SSE
- Append-only concept embedding log
- Building use-cases
- Why build a second brain when AI can think for us?
- Building an AI-powered agent system with OpenRouter SDK and Web3 technologies
- Building chatbot agent to streamline project management
- Setup centralized monitoring system for Hedge Foundation trading platform
- Build a research-first tech company
- Build a trusted brand: Be known for great work
- Grow a community: Events, forums, or online groups
- Company: Brand value + Trade secrets
- Get money to grow: Investors, grants, or partners
- Know your mission & what makes you special
- Build a central hub for knowledge & ops
- Profitable: make more money than you spend
- Start with a strong research team
- Research to Value: Turn ideas into products or impact
- Stay resilient: Pass the test of time
- Scale smart: Grow big but stay research-first
- Share your ideas: Create research, posts, or tools
- Sustainable: Stay strong over time
- Attract & keep talented people
- Handle tough times: Tech shifts, money issues
- Create slides with Overleaf and ChatGPT
- Visualizing crypto market performance: BTC-Alt dynamic indicators in Golang
- Building a data archive and recovery strategy for high-volume trading system
- Database hardening for a trading platform
- Build a MCP client for Discord
- Transfer mapping: enhancing loggers for better transparency
- Implement Binance Futures PNL analysis page by Phoenix LiveView
- Memo build log
- The Memo build and content quality pipeline
- Automating static site deployment
- DuckDB as intermediary storage
- Memo architecture
- Managing content with Git submodules
- Onchain permanent storage
- Memo profiles
- Redirect and Alias
- Streamline development with a single Makefile
- Build a static site by choice
- Migrate regular tables into TimescaleDB hypertables to improve query performance
- How we build our monitoring system
- Approach to building monitoring
- Monitoring best practices
- Monitoring components
- Correlation layer
- Implementation guide for monitoring systems
- LLM prompt for metrics planning
- Which metrics actually matter
- Trace IDs and request IDs that work
- Does monitoring scale with your system?
- Can you rely mostly on synthetic monitoring?
- Optimizing initial load time for a trading platform
- Hedge Foundation - optimizing UI for effective investment experience
- Implementing data snapshot pattern to persist historical data
- MCP playbook documentation
- MCP playbook code flow
- MCP playbook data flow
- AI knowledge automation
- MCP playbook setup
- Content publication tooling
- Building data pipeline for OGIF transcriber
- Reconstructing historical trading PnL: a data pipeline approach
- Secure and transparent uptime monitoring with Upptime and GitHub secrets
- § How to vibe
- How to be a good planner
- Prompts